Every repair your service ever did, findable.For every technician, on site.

It reads the whole document, lists the requirements and links each one to the page it comes from. Your sales engineers review the list and the flagged deviations instead of reading everything.

Yes, as long as there is documentation: manuals, drawings, part lists or old service reports, scanned ones included. The more history there is, the better the answers.

A first version of a simple app runs within hours, a complete one within days, depending on the systems you connect. In the AI Bootcamp your teams build their first apps with us in five days and roll them out.

Yes. There is no connector catalogue to wait for: each connection is built for your system through REST or MCP, including ERP, CRM, EDI, portals, older and in-house systems. Connections are set up once in the platform, and your apps read and write through them with the access rights you set, without secrets in the code.

Only if you decide so. Operaide runs on your own infrastructure, and for each step of an app you choose the AI model: a local model on your own hardware for data that must not leave, or a frontier model in your cloud tenant. An app can also use a local model to remove personal data before anything reaches a cloud model. Every run is traced, so you can see which data went where.

It answers from your sources and shows them. If nothing fits, it says so and the question goes to an expert.

Policies, manuals, intranet and wiki pages, reports and past cases, as files or from your systems.

The app respects your access rights, so everyone only sees what they may see.

Domain experts build no-code in the App Builder, and developers extend the apps in code in Operaide Studio. IT keeps control of AI models, data and access. If you like, our engineers build the first version with you, for example in the AI Bootcamp.

Commercial, European and self-hosted AI models: OpenAI, Anthropic, Mistral, Azure, Google, Amazon Bedrock, OpenRouter and more, or open-source models via Ollama or LM Studio. Your administrators configure them, and every step of an app can use its own AI model, chosen for its task.